Wireless networks are evolving towards artificial intelligence (AI) / machine learning (ML)-driven systems able to address the overwhelming requirements of future mobile communications [1]}, [2]}, namely the fifth generation (5G), beyond 5G (B5G), and the sixth generation (6G). The application of ML for networking can be found at different communication layers and parts of a network, e.g., network management to drive the self-organizing networks (SON) paradigm [3]}, optimization of the medium access control (MAC) layer in decentralized channel access [4]}, or AI-native physical communication protocols [5]}, [6]}. The fact is that AI/ML can leverage the vast amount of network and user data to generate new knowledge that allows improving the network performance and, hence, making progress in the development of novel network applications such as those based on extended reality.
